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Au sein de notre Practice Data & IA, vous rejoignez une communauté d'experts passionnés intervenant sur des programmes de transformation majeurs auprès de grands comptes, en France et à l'international.…
Build and maintain the Power Platform layer of a governed Azure Lakehouse, ensuring reliable BI/reporting for business teams while enforcing security and governance standards.
Build and lead backend services powering Fitch Ratings’ credit data and ratings platform using Java/Spring Boot, AWS, and modern cloud-native tools.
Architects and builds secure, production-grade AI applications and workflows for a government-focused SaaS company, integrating LLMs, agents, and enterprise systems.
ABOUT THE ROLEThe primary purpose of the Data Integration Analyst role is to support the development, maintenance and continuous improvement of the organisation's Microsoft Fabric data platform and enterprise data…
Venues NSW is a commerically focused agency of the NSW Government, encompassing the Sydney Cricket Ground and Allianz Stadium as well as major sporting and cultural stadiums and precincts in Sydney, Olympic Park,…
Build and scale a Databricks-based lakehouse on AWS to power analytics and AI, while creating reusable data pipelines and abstractions for internal teams.
Build and maintain data models in Microsoft Fabric using SQL (dbt) and notebooks, write data-quality tests, and enable stakeholders with Power BI semantic models.
Designs and builds scalable data pipelines and cloud-native architectures for government and enterprise clients, focusing on high-performance data systems and AI integration.
Architect and lead enterprise-scale data platforms, MDM, and agentic AI integrations (RAG, LLM workflows) in cloud-native environments, while setting engineering standards and mentoring teams.
Architect and lead enterprise-scale data platforms, MDM, and agentic AI systems, building scalable pipelines and trusted data foundations for analytics and AI-driven applications.
Build and maintain scalable data pipelines and analytical datasets for financial reference data using Snowflake, Databricks, Spark, and Iceberg, ensuring trusted, production-grade data products.
Internship role assisting with cloud data projects, ETL pipelines, SQL queries, and ML/AI solutions using Databricks, Snowflake, and MS Fabric.
Design and evolve cloud-scale data platforms for industrial IoT, building high-volume systems that ingest and serve telematics data from energy assets like generators and microgrids.
Build and maintain GM’s global sales reporting hub on Databricks, unifying vehicle sales data into interactive dashboards and AI-driven insights to track the funnel from customer traffic to delivery.
Lead the design and evolution of enterprise-scale data and AI architectures for large corporations, guiding cloud-based analytics and generative AI solutions across Azure, AWS, and GCP.
Lead a team of data engineers to build and maintain Sidley’s enterprise Databricks Lakehouse platform, setting technical standards and ensuring scalable, governed data solutions using PySpark, Delta Lake, and Azure Databricks.
Design and maintain scalable data pipelines and models on Microsoft Fabric to power reporting, analytics, and AI initiatives in a large UK organisation.
Design and build a scalable enterprise data Lakehouse, integrating systems and setting data governance standards to drive analytics and business decisions.
Build and optimize scalable data pipelines and lakehouse architectures using Databricks, Spark, Kafka, and Airflow to power analytics, ML, and newsroom workflows at a major media company.
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